Grazer Control of Stream Algae: Modeling Temperature and Flood Effects

Rutherford, James; Scarsbrook, Mike R.; Broekhuizen, Niall

doi:10.1061/(asce)0733-9372(2000)126:4(331)

Cited by 45 publications

(52 citation statements)

References 43 publications

(51 reference statements)

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“…The timing of recovery (less than 30 days) is what would be expected following patchy disturbance (Robinson and Minshall, 1986;Resh et al, 1988;Matthaei et al, 1996). Rutherford et al (2000) also noted that algal recovery may be enhanced following floods in summer because of reduced grazer populations, and algal recovery in frequently disturbed systems typically is rapid (Peterson et al, 1994;Peterson, 1996;Uehlinger et al, 1996). Consequently, we may expect similar response patterns of periphyton among different types of rivers following catastrophic disturbance, e.g.…”

Section: Responses In Community Assembly: Periphytonmentioning

confidence: 86%

Stream ecosystem response to multiple experimental floods from a reservoir

Robinson

Uehlinger

Monaghan

2004

River Research & Apps

102

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The effects of multiple experimental floods in the same year on the ecology of a river (River Spöl) below a large reservoir were investigated. In the flood year (2000), three floods of different magnitude (10 m 3 /s on 15 June, 25 m 3 /s on 5 July, and 10 m 3 /s on 10 August) were implemented, each lasting 7-8 h. Regulated baseflow discharge was maintained at less than 2.5 m 3 /s. Samples of macroinvertebrates, periphyton, water chemistry, and seston were collected for one year (1999) before and then immediately before and after each flood in the Spöl and in an adjacent reference tributary (Val da l'Aqua). Samples also were collected periodically between floods to evaluate temporal response patterns. During two of the floods, suspended sediments and seston were measured at 30 min to 1 h intervals. Suspended sediment and seston reached peak concentrations within the first hour of each flood, then decreased within about 2 h. Peak seston and suspended sediment concentrations during each flood decreased by an order of magnitude from the July flood to the August flood. Two-way ANOVA indicated significant flood effects on periphyton standing crops expressed as either chlorophyll a or ash-free dry mass (AFDM). Recovery of periphyton following each flood appeared to be progressively slower after the later (July and August) floods. Seston chlorophyll levels also were lower following each flood, being significantly correlated to periphyton biomass. Two-way ANOVA indicated that the floods significantly decreased macroinvertebrate taxonomic richness, density, and biomass. Taxa that decreased from the floods included the turbellarian Crenobia alpina and the gammarid Gammarus fossarum. Taxa that showed a fast recovery to the floods included the Chironomidae, Simuliidae, and Baetidae. Our data indicate a strong temporal effect of flood disturbance on benthic assemblages (periphyton and macroinvertebrates) below reservoirs that partly reflects species-specific life histories and traits, and the cumulative effects of earlier floods.

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Section: Responses In Community Assembly: Periphytonmentioning

confidence: 86%

Stream ecosystem response to multiple experimental floods from a reservoir

Robinson

Uehlinger

Monaghan

2004

River Research & Apps

102

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“…A model of grazer effects on algal biomass suggests that grazers maintain algae at low levels under steady-state conditions, but increasing disturbance (flood) frequency leads to algal blooms (Rutherford et al 2000). Responses to macroconsumers also might be stronger in ecosystems with abundant, diverse fish communities (McIntyre et al 2008).…”

Section: ]mentioning

confidence: 99%

Direct and indirect effects of central stoneroller (Campostoma anomalum) on mesocosm recovery following a flood: can macroconsumers affect denitrification?

Reisinger

Presuma

Gido

et al. 2011

Journal of the North American Benthological Society

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“…This subroutine of the formulation stems from the Ford and Fox [2014] model which was a modification of the original Rutherford et al [2000] framework. APOC (kgC) is simulated as…”

Section: Model Formulationmentioning

confidence: 99%

Isotope‐based Fluvial Organic Carbon (ISOFLOC) Model: Model formulation, sensitivity, and evaluation

Ford

Fox

2015

Water Resources Research

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Watershed-scale carbon budgets remain poorly understood, in part due to inadequate simulation tools to assess in-stream carbon fate and transport. A new numerical model termed ISOtope-based FLuvial Organic Carbon (ISOFLOC) is formulated to simulate the fluvial organic carbon budget in watersheds where hydrologic, sediment transport, and biogeochemical processes are coupled to control benthic and transported carbon composition and flux. One ISOFLOC innovation is the formulation of new stable carbon isotope model subroutines that include isotope fractionation processes in order to estimate carbon isotope source, fate, and transport. A second innovation is the coupling of transfers between carbon pools, including algal particulate organic carbon, fine particulate and dissolved organic carbon, and particulate and dissolved inorganic carbon, to simulate the carbon cycle in a comprehensive manner beyond that of existing watershed water quality models. ISOFLOC was tested and verified in a low-gradient, agriculturally impacted stream. Results of a global sensitivity analysis suggested the isotope response variable had unique sensitivity to the coupled interaction between fluvial shear resistance of algal biomass and the concentration of dissolved inorganic carbon. Model calibration and validation suggested good agreement at event, seasonal, and annual timescales. Multiobjective uncertainty analysis suggested inclusion of the carbon stable isotope routine reduced uncertainty by 80% for algal particulate organic carbon flux estimates.

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Grazer Control of Stream Algae: Modeling Temperature and Flood Effects

Cited by 45 publications

References 43 publications

Stream ecosystem response to multiple experimental floods from a reservoir

Stream ecosystem response to multiple experimental floods from a reservoir

Direct and indirect effects of central stoneroller (Campostoma anomalum) on mesocosm recovery following a flood: can macroconsumers affect denitrification?

Isotope‐based Fluvial Organic Carbon (ISOFLOC) Model: Model formulation, sensitivity, and evaluation

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